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Related Questions
- What are some common techniques used to fine-tune pre-trained language models for specific domains?
- How do techniques like transfer learning and domain adaptation contribute to improving the performance of pre-trained language models in new domains?
- What is the role of prompt engineering in adapting pre-trained language models to new domains?
- Can you explain the concept of few-shot learning and its application in domain adaptation?
- How do techniques like multi-task learning and meta-learning enable pre-trained language models to adapt to new domains?
- What are some common challenges encountered when adapting pre-trained language models to new domains, and how can they be addressed?
- How do techniques like domain-aware attention and knowledge distillation contribute to domain adaptation in pre-trained language models?
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